Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i31/94595
Year: 2016, Volume: 9, Issue: 31, Pages: 1-5
Original Article
V. Mangaiyarkarasi1 * and C. Kumar Charlie Paul2
1 St. Peter’s University, Chennai - 600054, [email protected]
2 A.S. L. Pauls College of Engineering and Technology, Coimbatore - 641032, Tamil Nadu, India; [email protected]
*Author for correspondence
Mangaiyarkarasi
St. Peter’s University, Chennai - 600054,
Email: [email protected]
Background: Fast Fourier Transform (FFT) processor is the important method in Orthogonal Frequency Division Multiplexing (OFDM) communication systems. Split-Radix Fast Fourier Transform (SRFFT) estimates the least number of multiplications compared to other FFT algorithm; hence SRFFT is the best for the implementation of low power FFT processor. Methods: In this paper, the proposed “pipelined 32-point Split-Radix Multi-path Delay Commutator (SFMDC) FFT” architecture is designed. The MDC architecture has advantages in reducing the low chip area and lower power consumption. The SR-FFT algorithm has changing the numbers of butterfly elements in successive stages. The 32-point SR-MDC FFT architecture is to determine the frequency transformation techniques. The Split-Radix FFT algorithm is based on radix-2 and radix-4 algorithm and it is related to mixed radix FFT. Findings: The performance evaluation of proposed architecture is determined through VLSI System. Less area, low power consumption and high speed are the main parameters in this design. The proposed structure provides high throughput rate and low hardware complexity. Improvements: The goal of this proposed work is to reduce the slices and LUTs and power consumption and also to enhance the performances of the FFT processor than the existing method. The proposed method has been evaluated by using ModelSim 6.3C and synthesis results has been validated by using Xilinx Plan ahead 12.4.
Keywords: Fast Fourier Transform (FFT), Multipath Delay Commutator (MDC), Orthogonal Frequency Division Multiplexing (OFDM), Split-Radix Fast Fourier Transform (SRFFT), Very Large Scale Integration (VLSI)
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